MétaCan
Menu
← Back to cohort
Record W2315843200 · doi:10.1061/41084(364)24

Seismic Assessment on In Situ School Testing in Taiwan Using Methodology of ASCE/SEI 41-06

2009· article· en· W2315843200 on OpenAlexaff
Tsung‐Chih Chiou, Yuan‐Tao Weng, Shyh‐Jiann Hwang, Kenneth J. Elwood

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEngineeringCivil engineeringTest (biology)Structural engineeringEvaluation methodsGeotechnical engineeringConstruction engineeringReliability engineeringGeology

Abstract

fetched live from OpenAlex

ASCE/SEI 41, the standard for seismic rehabilitation of existing buildings, proposes seismic evaluation procedures for concrete buildings. In-situ test results of existing school buildings in Taiwan can be used to verify the evaluation methodology in ASCE/SEI-41 Supplement 1. This paper reports on one in-situ specimens, 2-story 2-classroom building frames, subjected to reversed-cyclic and pseudo-dynamic loading. The experimental program, test setup and test results will be presented in this paper. The methodology for seismic assessment in ASCE/SEI-41 Supplement 1 will be applied to evaluate the seismic capacity of the existing school building, and the results of the evaluation and in-situ tests will be compared. A methodology proposed for the seismic assessment of concrete school buildings in Taiwan will also be discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.338
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same topicStructural Behavior of Reinforced Concrete→French-language works237,207→